Movie-Recommendation-System

This is a project based on Content Based Recommendation System using Streamlit. It simplifies movie selection by recommending similar movies when a specific film is searched, providing a more personalized and enjoyable movie-watching experience. It recommends a list of the top 10 movies that are similar to the one being searched for. Hope you enjoy it:)

Instructions how to go about it:

1. Run this code for installation of necessary libraries : !pip install streamlit pickle(if required)
   
   
2. Run the contents of jupyter file 'Content Based Recommendation System.ipynb' to get pickle files i.e movie_list.pkl and similarity.pkl
   
   
3. Open Anaconda Prompt, enter the current directory of the folder using 'cd' command : cd folder_path.
   For Example: cd C:\Users\Desktop\Github\Content-Based-Movie-RS
   
   
4. Run this code after step 3 , to launch your streamlit app : streamlit run app.py (make sure you have entered the current directory where app.py is present using 'cd' command)